Data Science Consultant

EPAM Systems

Colombia

Presencial

COP 150.000.000 - 230.000.000

Jornada completa

hace 24 horas
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Paid time off and sick leave
Upskilling, reskilling and certific at?
Global career opportunities
Volunteer and community involvement

Descripción de la vacante

EPAM Systems is seeking a Data Science Consultant in Colombia to lead ML/AI strategy across client projects. You will direct design and implementation of advanced AI solutions, align technologies with business goals, and drive enterprise-wide AI adoption.

You will mentor teams, collaborate with clients, and oversee project transitions from sales to delivery while staying abreast of regulatory considerations and industry best practices.

Formación

  • At least 12 years of leadership experience in Data Analytics, ML, and AI
  • Hands-on experience with Python and ML frameworks (PyTorch, TensorFlow)
  • Knowledge of SQL and cloud services (AWS, Azure, GCP)
  • Experience leading geographically distributed AI teams
  • Ability to persuade senior stakeholders to fund ML/AI projects
  • Excellent ability to explain complex topics to technical and non-technical audiences
  • Experience with regulated industries or compliance functions
  • Strong analytical skills to translate business needs into ML/AI applications

Responsabilidades

  • Lead ML/AI strategy development and execution for client projects
  • Create responsible AI systems and metrics aligned with client goals
  • Coordinate AI integration across departments
  • Collaborate with clients to understand challenges and demonstrate ML/AI value
  • Mentor data science and engineering teams
  • Stay updated on ML/AI innovations and regulatory considerations
  • Interface between business, legal, and technology groups
  • Outline ML solution scopes and manage pricing and transitions from sales to delivery
  • Build and maintain client relationships through clear communication and project management
  • Engage executives to champion enterprise AI adoption
  • Assist sales with data opportunities, RFPs, and proposals

Conocimientos

Leadership
AI/ML strategy
Stakeholder management
Python
Communication
Analytical thinking
ML concepts
Explain complex topics

Herramientas

PyTorch
TensorFlow
SQL
AWS
Azure
GCP

Descripción del empleo

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are hiring a Data Science Consultant to provide visionary leadership in machine learning and AI, directing design and implementation of advanced solutions for our clients.

This role ensures alignment of AI technologies with business strategies, driving impactful outcomes and fostering enterprise-wide AI adoption. Become part of a team committed to delivering innovative AI products and services.

Responsibilities
  • Lead the development and execution of ML and AI technical strategies for client projects
  • Create responsible AI systems and metrics that support client objectives
  • Promote AI integration by coordinating across organizational departments
  • Work closely with clients to understand their challenges and demonstrate ML/AI benefits
  • Manage and mentor data science and engineering teams as both leader and collaborator
  • Stay updated on ML/AI innovations and suggest new approaches mindful of regulatory issues
  • Act as intermediary among business, legal, and technology groups within EPAM and client sides
  • Outline ML solution scopes, manage pricing, and oversee project transitions from sales to delivery
  • Cultivate client relationships through clear communication and effective project management
  • Engage senior executives and C-level stakeholders to champion enterprise AI adoption
  • Assist sales teams with data opportunity assessments, RFP responses, and proposal development
Requirements
  • At least 12 years of leadership experience in Data Analytics, Machine Learning, and AI
  • Demonstrated success in building and implementing ML/AI solutions
  • In-depth understanding of machine learning concepts including deep learning, statistics, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), and ML privacy/security
  • Proven leadership of geographically distributed, multidisciplinary AI teams
  • Ability to persuade senior stakeholders to fund or purchase ML/AI projects
  • Effective in explaining complex technical topics to both technical and non-technical stakeholders
  • Hands-on experience with Python and ML frameworks like PyTorch and TensorFlow
  • Knowledge of SQL and cloud services such as AWS, Azure, or GCP
  • Experience with regulated industries or related compliance functions
  • Strong analytical skills to convert complex business needs into ML/AI applications
We offer
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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